RomainLaroche / SPIBB
Safe Policy Improvement with Baseline Bootstrapping
☆26Updated 4 years ago
Alternatives and similar repositories for SPIBB:
Users that are interested in SPIBB are comparing it to the libraries listed below
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 4 years ago
- ☆30Updated 5 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆41Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆41Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- ☆97Updated last year
- ☆66Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- ☆91Updated last year
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- PyTorch IMPALA implementation☆25Updated 5 years ago
- ☆81Updated 3 years ago
- Code for demonstration example-task in RUDDER blog☆22Updated 4 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago